Referenced Papers (8)
Janeway's Immunobiology. Eighth Edition. By Kenneth Murphy; with acknowledgment to, Charles A. JanewayJr., Paul Travers, and Mark Walport; with contributions by, Allan Mowat and Casey T. Weaver. London and New York: Garland Science (Taylor & Francis Group). $125.00 (paper). xx + 868 p.; ill.; index. ISBN: 978-0-8153-4243-4. 2012
Howard B Fleit
Q. Rev. Biol., 2012
"Cited as the source for a diagram illustrating the structure of an antibody and the genetic mechanisms that generate antibody diversity."
FDA approves 100th monoclonal antibody product
Asher Mullard
Nat. Rev. Drug Discov., 2021
"Cited as a source for statistics on the application areas of therapeutic antibodies."
Cost and supply considerations for antibody therapeutics
Chun Chen, Zoe Garcia, David Chen, Hong Liu, Piper Trelstad
MAbs, 2025
"Cited as a source for information on the stages of therapeutic antibody development."
Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning
Derek M Mason, Simon Friedensohn, Cédric R Weber, Christian Jordi, Bastian Wagner, Simon M Meng
Nat. Biomed. Eng., 2021
"Cited as examples of high-throughput binary data generated via flow cytometry used in antibody affinity engineering."
Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space
Emily K Makowski, Patrick C Kinnunen, Jie Huang, Lina Wu, Matthew D Smith, Tiexin Wang
Nat. Commun., 2022
"Cited as examples of high-throughput binary data generated via flow cytometry used in antibody affinity engineering."
Reducing affinity as a strategy to boost immunomodulatory antibody agonism
Xiaojie Yu, C Orr, H Chan, S James, Christine A Penfold, Jinny H Kim
Nature, 2023
"Cited as a study demonstrating that lower affinity antibodies can lead to prolonged survival rates in cancer mouse models, indicating that maximizing affinity is not always the optimal strategy."
Antibody affinity engineering using antibody repertoire data and machine learning
Lena Erlach, Simon Friedensohn, Daniel Neumeier, Derek M Mason, Sai T Reddy
bioRxiv, 2025
"Cited as a source for the antibody bulk repertoires dataset used in the project."
Convergent selection in antibody repertoires is revealed by deep learning
Simon Friedensohn, Daniel Neumeier, Tarik A Khan, Lucia Csepregi, Cristina Parola, Arthur R Gorter de Vries
bioRxiv, 2020
"Cited as a source for the antibody bulk repertoires dataset used in the project."